Principles, Applications, and Trends of Granular Computing

This paper is to introduce the principles, models and perspectives of granular computing, and discuss its applications in various domains such as data mining, software engineering, and human-computer interaction. The research and development trends in granular computing are predicted.

[1]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[2]  T. Y. Lin tylin,et al.  NEIGHBORHOOD SYSTEMS : A Qualitative Theory for Fuzzy and Rough , 1995 .

[3]  Z. Pawlak Granularity of knowledge, indiscernibility and rough sets , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[4]  Yiyu Yao,et al.  Granular Computing , 2008 .

[5]  Bo Zhang,et al.  The Quotient Space Theory of Problem Solving , 2003, Fundam. Informaticae.

[6]  W. Buxton Human-Computer Interaction , 1988, Springer Berlin Heidelberg.

[7]  Edward Yourdon,et al.  Object-oriented analysis , 2012 .

[8]  Eric J. Braude,et al.  Object Oriented Analysis, Design, and Testing , 1997 .

[9]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..